Fractal feature-based Color Image Segmentation for a Healthcare Application in Dermatology

被引:0
|
作者
Caliman, Alexandru [1 ]
Ivanovici, Mihai [1 ]
Richard, Noel [2 ]
机构
[1] Transilvania Univ, Dept Elect & Comp, MIV Imaging Venture Lab, Brasov, Romania
[2] Univ Poitiers, XLIM SIC, CNRS, UMR 6172, Poitiers, France
关键词
E-health; image segmentation; fractal dimention; watershed; PSORIASIS;
D O I
暂无
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
We propose a computer-based e-health system in dermatology, particularly adapted for psoriasis management, in order to assist the dermatologist to objectively evaluate the severity of skin lesions and to choose the adequate treatment. The system comprises a digital color camera, a personal computer and an image processing software application. In order to assess the severity of psoriatic lesions we use the unanimously-accepted PASI score, which is a subjective score computed by the dermatologist based on the following characteristics of the affected skin regions: area, erythema, induration and scaliness. Therefore, the precise and objective measurement of the lesion area is extremely important. However, this step has to be preceded by a segmentation operation, therefore we propose a color image segmentation approach using fractal features for the local characterization of the color texture. We show our results, then we conclude this paper.
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页数:4
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